SAS Data Quality Reviews

.We can cleansing and dicing the big datas

Improve the handling to be easy and user friendly

Easy to fetch our necessary datas which is no duplicates and fraudulent information

SAS is statistical software that can analyze a big set of data. This is an automatic program where you have to input the variables for which the analysis you want to perform. The program is very sensitive and chooses the statistical method based on your set of data. It is very useful for the big companies that are managing a big set of data daily and predicting any data trend or outcomes. For example, most biopharmaceutical companies employ SAS for clinical trial data analysis. Besides the calculations and analysis, there are different visualizations of data and predictions. The processing time is usually very short.

Know how to use SAS and usually complete the entire SAS program. Also, since the SAS program is a more advanced statistical program, you need to have basic statistical knowledge before using it. Therefore, only very qualified statisticians) can understand the complexity of the program and can run the program. Specifically, when you choose variables and also interpret the results.

To select appropriate statistical tests for a big set of data and automatically make the calculations. SAS checks the data set and if there is any error, the program sends you a notification about it so you know to select a different test, or if the set of data are with errors, the program brings this to your attention.

It is a food source for structured data with matrices that can be very helpful for dashboards. The query traversal on the data is great

No automatic suggestions thus need to reffer docs.

Creating sales insights for which we need structured metrices

.about the prodcut Accuracy Assesments and Completeness is good

Expanding the SAS Data in Agriculture sector will be more helpful

it helps in

Navigation was pretty good,UI was intuitive,and data quality is pretty awesome.

Occasionally working with huge data, sometimes gets slower, but most of the times it's pretty fast

Insights are reliable and exploratory analysis is on point

I like how the data is generated and used in various aspects

There were no downsides to this type of data quality

The problems SAS Data Quality solves are data cleaning , generating streaming data etc.

.It helps in understanding the requirements and improve the quality

No downsides to mention as all the features are good

It's helping in improving the data storage and it helps our business to focus on necessary data

.Data quality and the upside benefits are more than sufficient for me

As of now I don't have any experience with the downsides

Very interesting to have insights from

Being one of the best BI tools, this tool helps in a wide range of approaches for Business solutions and data-related operations. It helps in Processing the data efficiently and providing the desired outcome and solutions.

For some organizations, it is quite costly to work with SAS Data Quality. Also, I found that some more charts and visuals could be included while using the tool. Not free or open source tools.

This tool helps in processing the large datasets which others lack. The tool helps in data integration, modeling and visualization via extract, transform and load processes. It is proving beneficial to deal with vast amounts of data smoothly.

Single interface to manage all the data which help us to maintain accuracy, readiblity, completeness, availablity and relevance

A bit complex system which takes time for user to understand.

maintain accuracy, readiblity, completeness, availablity and relevance